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Master degree in economics (eg, Applied, Social or Health Economics, Commercial Engineering), public health, statistics, biostatistics, pharmaceutical or biomedical sciences. You can demonstrate excellent
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/intermediate programming skills in R and/or python Ability to adapt to the research environments while being full members of two labs Desirable skills statistical analysis basic processing of NGS data experience
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statistical analysis basic processing of NGS data experience with iPSC and/or cell culturing knowledge of and some experience with genetic perturbation assays, such as CRISPR What we offer As part of the VIB
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"). As the field of causal inference shifts toward population-level intervention effects, there is a risk of overlooking the value of statistical modeling. The ACME project seeks to reintegrate flexible
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of contaminants is an asset; You have skills in statistical data analysis, and are keen on developing these skills further. Basic knowledge of R is an asset; You have experience in working with oligotrophic
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and processing spatio-temporal data using e.g. GIS, and have basic understanding on modelling (statistical or process-based) You are a team player with good communication skills, you like to write and